Data Engineer: Fabric + BI for AI Adoption Insights

Pretius; Województwo mazowieckie; On-site; PLN 100,000 - 180,000; Full time

Benefits offered by this job

Multisport card

Medicover private healthcare

Modern office

Team bonding & trainings

Job summary

Pretius is seeking a Data Engineer with MS Fabric to build data and reporting solutions that measure AI adoption and business value for PwC US. The role blends data engineering, Power BI development, and stakeholder collaboration, with a future focus on enabling conversational data access via GenAI.

You will build data pipelines, models, and semantic layers, and create Power BI reports with DAX measures and KPIs.

Qualifications

• Hands-on experience with Microsoft Fabric, including Lakehouse/Warehouse, pipelines, Dataflows Gen2, and notebooks.
• Strong Power BI skills, including data modelling, DAX, and semantic models.
• Good knowledge of SQL and experience with Python and/or PySpark.
• Experience integrating data from various sources, such as APIs, files, databases, and SaaS platforms.
• Knowledge of or a strong interest in GenAI solutions for data analytics, including text-to-SQL/DAX, Fabric Data Agents, or Power BI Copilot.
• Understanding of prompt engineering and approaches to evaluating LLM output quality.
• Strong communication skills and the ability to independently clarify ambiguous business requirements.
• Fluent English, with confidence in working directly with US-based stakeholders.

Responsibilities

• Build and maintain data pipelines in Microsoft Fabric, integrating data from multiple sources.
• Develop data transformations, data models, and semantic models for reporting and analytics.
• Create and maintain Power BI reports, including DAX measures and business KPIs.
• Collaborate with business stakeholders to define and measure AI adoption and business value.
• Contribute to conversational data access solutions using Fabric Data Agents, Power BI Copilot, or custom LLM-based solutions.
• Validate the accuracy and reliability of AI-generated answers by designing test scenarios and defining the scope of supported queries.

Skills

Data modeling

DAX

GenAI awareness

Prompt engineering

Stakeholder collaboration

Fluent English

Tools

Microsoft Fabric

Power BI

Python

PySpark

LLM integration

Power BI Copilot

Fabric Data Agents

Job description

Pretius is seeking a Data Engineer with MS Fabric to build data and reporting solutions that measure AI adoption and business value for PwC US. The role blends data engineering, Power BI development, and stakeholder collaboration, with a future focus on enabling conversational data access via GenAI.

You will build data pipelines, models, and semantic layers, and create Power BI reports with DAX measures and KPIs.